Merge Method
This model was merged using the SLERP merge method.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
slices:
- sources:
- model: rhysjones/phi-2-orange
layer_range: [0, 32]
- model: Yhyu13/phi-2-sft-dpo-gpt4_en-ep1
layer_range: [0, 32]
merge_method: slerp
base_model: rhysjones/phi-2-orange
parameters:
t:
- filter: self_attn
value: [0, 0.5, 0.3, 0.7, 1]
- filter: mlp
value: [1, 0.5, 0.7, 0.3, 0]
- value: 0.5
dtype: bfloat16
Usage :
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer
torch.set_default_device("cuda")
model = AutoModelForCausalLM.from_pretrained("ayoubkirouane/phi-2_MERGED", torch_dtype="auto", trust_remote_code=True)
tokenizer = AutoTokenizer.from_pretrained("ayoubkirouane/phi-2_MERGED", trust_remote_code=True)
inputs = tokenizer('What Machine Learning ? ', return_tensors="pt", return_attention_mask=False)
outputs = model.generate(**inputs, max_length=50)
text = tokenizer.batch_decode(outputs)[0]
print(text)